The problem of estimating unknown signal samples from partial measurements in fractional Fourier domains arises in wave propagation. By using the condition number of the inverse problem as a measure of redundant information, we analyze the effect of the number of known samples and their distributions
In many applications in compressed sensing, the measurement matrix is a Fourier matrix, i.e., it mea...
Fractional Fourier Transform is a generalization of the classical Fourier Transform which is often s...
Based on the definition of the instantaneous fre quency (signal phase derivative) as a local moment ...
The problem of estimating unknown signal samples from partial measurements in fractional Fourier dom...
In this work, we present a novel linear algebraic approach to certain signal interpolation problems ...
n this work, we present a novel linear algebraic approach to certain signal interpolation problems i...
The problem of recovering signals from partial fractional Fourier transform information arises in wa...
We consider the problem of recovering a signal from partial and redundant information distributed ov...
The importance of the amplitude and phase in the fractional Fourier transform (FT) domain is analyze...
The problem of recovering a complex signal from the magnitudes of any number of its fractional Fouri...
<正> Signal reconstruction from its Fourier Transform (FT) magnitude is one of the researcher&a...
We discuss the reconstruction of a finite-dimensional signal from the absolute values of its Fourier...
Sampling theory for continuous time signals which have a bandlimited representation in fractional Fo...
Abstract—Based on the definition of the instantaneous fre-quency (signal phase derivative) as a loca...
We develop a probabilistic approach to the problem of signal recovery from noisy data. In particular...
In many applications in compressed sensing, the measurement matrix is a Fourier matrix, i.e., it mea...
Fractional Fourier Transform is a generalization of the classical Fourier Transform which is often s...
Based on the definition of the instantaneous fre quency (signal phase derivative) as a local moment ...
The problem of estimating unknown signal samples from partial measurements in fractional Fourier dom...
In this work, we present a novel linear algebraic approach to certain signal interpolation problems ...
n this work, we present a novel linear algebraic approach to certain signal interpolation problems i...
The problem of recovering signals from partial fractional Fourier transform information arises in wa...
We consider the problem of recovering a signal from partial and redundant information distributed ov...
The importance of the amplitude and phase in the fractional Fourier transform (FT) domain is analyze...
The problem of recovering a complex signal from the magnitudes of any number of its fractional Fouri...
<正> Signal reconstruction from its Fourier Transform (FT) magnitude is one of the researcher&a...
We discuss the reconstruction of a finite-dimensional signal from the absolute values of its Fourier...
Sampling theory for continuous time signals which have a bandlimited representation in fractional Fo...
Abstract—Based on the definition of the instantaneous fre-quency (signal phase derivative) as a loca...
We develop a probabilistic approach to the problem of signal recovery from noisy data. In particular...
In many applications in compressed sensing, the measurement matrix is a Fourier matrix, i.e., it mea...
Fractional Fourier Transform is a generalization of the classical Fourier Transform which is often s...
Based on the definition of the instantaneous fre quency (signal phase derivative) as a local moment ...
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